Enterprises are increasingly expected to build and own small language models (SLMs) trained on proprietary data rather than rely solely on rented foundation models as they seek greater control over ...

Linda Rosencrance is a freelance writer/editor/author in the Boston area. Rosencrance has over 30 years experience as an investigative reporter, writing for many newspapers in… Artificial intelligence ...

In vision-language models (VLMs), visual tokens usually consume a significant amount of computational overhead, despite their sparser information density compared to text tokens. To address this, ...

[2025.3.6] [Update🔥] Please place any models that need to be compatible with pdrop in this issue [2025.2.27] 🚀 Our paper has been accepted by CVPR 2025!!! [2024 ...

Abstract: Ship detection needs to identify ship locations from remote sensing scenes. Due to different imaging payloads, various appearances of ships, and complicated background interference from the ...

Abstract: Grounding language to the visual observations of a navigating agent can be performed using off-the-shelf visual-language models pretrained on Internet-scale data (e.g., image captions).